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CN107693032B - Neonate sucking reflex capability evaluating system - Google Patents

Neonate sucking reflex capability evaluating system Download PDF

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CN107693032B
CN107693032B CN201711096074.XA CN201711096074A CN107693032B CN 107693032 B CN107693032 B CN 107693032B CN 201711096074 A CN201711096074 A CN 201711096074A CN 107693032 B CN107693032 B CN 107693032B
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sucking
pressure
reflex
neonate
pressure sensor
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CN107693032A (en
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Xi'an Winziss Medical Group Co ltd
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    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/22Ergometry; Measuring muscular strength or the force of a muscular blow
    • A61B5/224Measuring muscular strength
    • A61B5/227Measuring muscular strength of constricting muscles, i.e. sphincters
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235Details of waveform analysis
    • A61B5/7264Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2503/00Evaluating a particular growth phase or type of persons or animals
    • A61B2503/04Babies, e.g. for SIDS detection
    • A61B2503/045Newborns, e.g. premature baby monitoring

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Abstract

The invention relates to a neonate sucking reflex evaluation system which mainly comprises a core processor (1), a pressure measuring sucking nipple (2), a pressure sensor (3), a built-in data model, a display terminal (4), a human-computer interaction interface (5), a power module (6) and a patient ID recognition module (11). The invention adopts the high-precision micro-pressure sensor to dynamically monitor and automatically evaluate the sucking reflex capability of the neonate, the monitoring data is scientifically quantized, the consistency of the evaluation result is good, the subjectivity of the existing sensory detection and judgment is avoided, the technical blank in the detection field is filled, and the invention has high clinical significance and use value.

Description

Neonate sucking reflex capability evaluating system
Technical Field
The invention relates to a neonatal sucking reflex evaluation system, which is clinical examination equipment for obstetrics or pediatrics of medical institutions, and belongs to the field of medical instruments.
Background
Sucking reflex (reflex) is one of the congenital reflexes of infants, and is one of the unconditional reflexes of newborns, which naturally disappear after the age of 1. Sucking reflex is expressed by that when the lips of a newborn are touched with a nipple or a finger or the like, the newborn immediately develops orbicularis on the mouth and puckers up the upper and lower lips, showing sucking action. Sucking reflex ability is a basic skill of a neonate to absorb nutrition, and if sucking reflex disappears or is obviously weakened in the period of the neonate, the sucking reflex is prompted to possibly cause dysplasia or brain lesions, and if sucking reflex is excessive, the sucking reflex is prompted to be hunger manifestation; sucking reflex still exists after the age of 1 infant and suggests that the brain cortex may be dysfunctional, so sucking reflex capability is one of the important indicators for judging whether the newborn is healthy. If the newborn has poor sucking reflex, not only is the nutrition intake limited, but the original oral desire is not satisfied, and the infant may also cause a barrier to emotion development and behavioral development, and affect the swallowing, chewing and speaking abilities in the future. At present, no professional sucking reflex capability test equipment exists, and clinical evaluation on sucking reflex capability mainly depends on sensory judgment of doctors, and the specific method is that the doctors extend index fingers into the mouths of the newborns shallowly, observe the lip and tongue actions of the newborns and feel the sucking strength of the newborns. The sensory judgment has stronger subjectivity, and the sucking reflex power can not be quantitatively evaluated, so that the requirements of modern medicine can not be met.
Disclosure of Invention
The invention provides a neonate sucking reflex evaluating system, which is beneficial to further meeting clinical requirements.
A neonate sucking reflex evaluation system mainly comprises a core processor, a pressure measuring sucking nipple, a pressure sensor, a built-in data model, a display terminal, a man-machine interaction interface and a power module. The invention is mainly characterized in that a pressure measuring sucking nipple is placed in a neonate mouth, sucking reflection parameters (including but not limited to sucking frequency, sucking duration and sucking force) of the neonate are dynamically monitored through a pressure sensor, and sucking reflection capacity of the neonate is evaluated according to an algorithm of a built-in data model; elements of the built-in data model construction include, but are not limited to, suck frequency, duration of suck average, suck average peak.
The core processor adopts a singlechip, and the singlechip, a signal processing module, a memory and the like construct an integrated circuit.
The pressure sensor is communicated with the core processor for working, and particularly is a high-precision micro pressure sensor with a measuring range of not less than 0 to 40KPa, preferably a micro pressure difference air pressure sensor with a measuring range of 0 to 50KPa and precision +/-0.1% FS is adopted. The pressure monitoring port of the pressure sensor is connected with the inner cavity of the pressure measuring sucking nipple, and the connection mode can be that the pressure monitoring port of the pressure sensor is directly placed into the inner cavity of the pressure measuring sucking nipple, or the pressure monitoring port of the pressure sensor is communicated with the inner cavity of the pressure measuring sucking nipple by adopting a pressure measuring catheter.
The built-in data model construction elements include, but are not limited to, sucking frequency, average duration of continuous sucking, average peak value of sucking force, wherein:
the sucking frequency refers to the sucking frequency of a neonate in unit time, and the data model can judge sucking above-6 KPa as effective sucking and sucking below-6 KPa as ineffective sucking. After the pressure measuring sucking nipple is placed in the mouth of a newborn, the pressure sensor can accurately measure the sucking force value and acquire a pressure waveform every time the newborn sucks. The data model calculates the number of pressure waveforms, calculates the number of times of sucking action of the neonate per minute, and judges the number of times of effective sucking and ineffective sucking according to the pressure peak value of each pressure waveform. The more effective sucking times in unit time and the shorter effective sucking interval time are judged that the sucking reflex capacity of the newborn is stronger, the sucking frequency of healthy newborn is as high as 72-80 times/min, and the average sucking times per second is more than 1.2 times.
The continuous sucking refers to continuous sucking action of the newborn, the premature infant is influenced by cardiopulmonary function, the sucking duration is not more than 30 seconds, and the continuous sucking time of the healthy newborn can be longer than 90-120 seconds, so the continuous sucking duration is one of factors for judging the sucking reflex capability of the newborn. The continuous sucking duration refers to the duration from the start of sucking action to the stop of continuous sucking, after the pressure measuring sucking nipple is placed in the mouth of the newborn, if the pressure waveform obtained through detection of the pressure sensor is maintained below 0KPa (continuous negative pressure state), the newborn is judged to be in the continuous sucking state, if the pressure waveform enters and is maintained above 0KPa (positive pressure state) for more than 3 seconds (sucking action is stopped for more than 3 seconds), the continuous sucking action is judged to be ended. The data model records the duration of each continuous sucking, calculates and gives the average duration of n continuous sucking by adopting a weighted average method, and the longer the average duration of continuous sucking is, the stronger the sucking capacity of the newborn is judged.
The suction peak value refers to the maximum suction negative pressure value in each suction action, namely the highest value of the pressure waveform obtained by the detection of the pressure sensor in the suction action, the data model records the suction peak value detected by n times of suction, and the suction average peak value is calculated and given by a weighted average method; the larger the average peak value of sucking force, the stronger the sucking force of the newborn is judged. The average peak value of sucking force of healthy neonates who are naturally delivered through vagina reaches more than-15 KPa, and the average peak value of sucking force of neonates who are born by caesarean section is slightly lower, and generally reaches more than-10 KPa.
And according to detection data such as sucking frequency, continuous sucking average duration, sucking force average peak value and the like, a sucking reflecting capacity evaluation result is given through an algorithm in a data model, and the evaluation result is judged to be four grades of ' Excellent ', good, medium (Fair) and Poor (Poor '). The method of establishing and evaluating the data model is further specifically described in the examples.
The display terminal is a display readout module for monitoring data and prompt information, and can be a liquid crystal display; when the remote monitoring communication is adopted, a PC (personal computer) can also be adopted as a display terminal, and the monitoring data is sent to the display terminal through wireless communication.
The man-machine interaction interface is an operation control interface of the invention, which is generally constructed by adopting control buttons, and is directly arranged on a touch screen when the touch screen is adopted as a display terminal.
The power supply module can adopt an adapter for supplying power and can also adopt an internal power supply of 5V-12V.
In order to facilitate rapid identification of patient information, the present invention is also provided with a patient ID identification module. The patient ID recognition module refers to a patient information recognition device for patient bed numbers, wrist ID numbers (including hospitalization numbers) and the like, and adopts an RFID identifier or a bar code scanner. The patient ID recognition module is communicated with the core processor for working, and after the patient information is read out by the patient ID recognition module, the patient information and the detection result can be automatically bound and output, so that the detection result and the patient information possibly caused in the continuous measurement process of a plurality of newborns are prevented from being confused.
The invention has the following advantages and clinical significance: the high-precision micro-pressure sensor is adopted to dynamically monitor and automatically evaluate the sucking reflex capability of the neonate, the monitoring data is scientifically quantized, the consistency of the evaluation result is good, the subjectivity of the existing sensory detection and judgment is avoided, the technical blank in the detection field is filled, and the method has high clinical significance and use value.
Drawings
FIG. 1 is a schematic diagram of the structure of the present invention 1 (pressure sensor integrated on PCB)
FIG. 2 is a schematic view of the structure of the present invention 2 (pressure sensor is disposed in a pressure measuring suction nipple)
FIG. 3 is a schematic block diagram of the present invention
The figure shows: the device comprises a core processor (1), a pressure measuring sucking nipple (2), a pressure sensor (3), a display terminal (4), a human-computer interaction interface (5), a power module (6), an integrated circuit (7), a pressure measuring catheter (8), a data lead wire (9), a Mini USB plug (10) and a patient ID identification module (11).
Description of the embodiments
The present invention will be specifically described below with reference to the drawings and examples.
Example 1: product preparation examples of the pressure sensor of the invention placed in a pressure measuring suction nipple
The product is prepared according to the schematic diagram of fig. 3 and the schematic diagram of fig. 2, and the specific parameters of main components are as follows: core processor (1): a Microchip microcontroller chip (single chip microcomputer) is adopted as a main body, and the model is MCU PIC18F4620-I/PT; the pressure sensor (3) adopts a tin-free Michausen MPS1100 micro air pressure sensor, the measuring range is 40KPa, and the precision is +1%FS; the patient ID identification module (11) adopts a PN5180 module.
The pressure measuring sucking nipple (2) is formed by adopting a medical soft polyvinyl chloride material through one-time injection molding, the shape of the pressure measuring sucking nipple (2) is basically consistent with that of a traditional infant nipple, a small hole of 1mm is arranged at the center of a nipple bulge of the pressure measuring sucking nipple (2), and a pressure measuring circular interface of 8mm is arranged at the bottom of the pressure measuring sucking nipple (2).
And (3) welding pins of the pressure sensor (3) with the data lead wires (9), wherein a main body of the pressure sensor (3) is encapsulated by medical polyvinyl chloride (a pressure measuring port is completely exposed).
The pressure measuring port of the pressure sensor (3) is inserted into a pressure measuring circular port at the bottom of the pressure measuring sucking nipple (2), and medical cyclohexanone glue is adopted for sealing and bonding.
The other end of the data lead wire (9) is welded with the Mini USB plug.
A PCB is fabricated according to the functional block diagram of fig. 3 and the structural layout of the product shown in fig. 2, and assembled according to a conventional electronic product manufacturing process.
And writing a control program (including a data model) into the singlechip by using a chip burning machine.
Starting up test, the real person simulates sucking pressure measurement sucking nipple (2), and checking each index according to the data model in table 1.
If the structure shown in fig. 1 (the pressure sensor is integrated on the PCB) is adopted to prepare a product, a pressure measuring catheter (8) is additionally prepared, the pressure measuring catheter (8) is extruded and molded by adopting medical soft polyvinyl chloride materials, and the inner diameter of the catheter is 2mm, the outer diameter is 3.5mm, and the length is 350mm; one end of the pressure measuring conduit (8) is communicated with the bottom of the pressure measuring sucking nipple (2), and the other end is communicated with the pressure measuring port of the pressure sensor (3). However, the technical scheme has the defect that the sterilization of the pressure measuring port of the pressure sensor (3) is difficult, and if the sterilization is not complete, the risk of infection in a hospital is caused by repeated use or cross use.
Example 2: examples of the data modeling of the present invention
The data model is mainly constructed by adopting the elements of sucking frequency, continuous sucking average duration and sucking force average peak value, and the sucking reflex capability evaluation result is given. The specific scheme is as follows:
the test time (t) can be set autonomously between 1min and 3min according to the needs of the neonate individual.
Suction frequency: the test records that several sucking actions (n/min) occur per minute.
Duration of sucking: the average duration of n continuous sucking is calculated by a weighted average method.
Suction average peak: the suction force peak value detected by n times of suction is calculated by a weighted average method to obtain a suction force average peak value.
Taking the selection of a test time of 1min as an example, the data model is demonstrated as follows:
the built-in data model gives out single index scores according to various detection results of the sucking frequency, the continuous sucking average duration and the sucking force average peak value, and gives out sucking reflecting capability evaluation results after accumulating various scores according to the above table algorithm: a score of 25 or more is determined to be good, a score of 19 to 24 is determined to be good, and a score of 12 or less (including 12) is determined to be bad, among the scores of 13 to 18.
The drawings and examples are only for the purpose of illustrating the invention and are not to be construed as limiting the invention, although reference is made to the preferred embodiments
While the invention has been described in detail with reference to the specific embodiments thereof, it will be understood by those skilled in the art that various changes may be made and equivalents substituted for elements thereof without departing from the spirit and scope of the invention, and it is intended to cover in the appended claims any and all such modifications as fall within the true scope of the invention.

Claims (7)

1. The utility model provides a neonate sucks reflex evaluation system, mainly comprises core processor (1), pressure measurement sucking nipple (2), pressure sensor (3), built-in data model, display terminal (4), human-computer interaction interface (5), power module (6); the pressure sensor (3) is communicated with the core processor (1) for working, and a pressure monitoring port of the pressure sensor (3) is connected with an inner cavity of the pressure measuring sucking nipple (2), and is characterized in that: placing a pressure measuring sucking nipple (2) into a neonate's mouth, and dynamically monitoring sucking reflex parameters of the neonate through a pressure sensor (3), wherein the sucking reflex parameters comprise sucking frequency, sucking duration and sucking force; and according to the sucking frequency, the continuous sucking average duration and the sucking force average peak detection data, giving sucking reflex capability grade evaluation results through an algorithm in a data model, and evaluating the sucking reflex capability of the neonate.
2. The neonatal sucking reflex capability assessment system of claim 1, further characterized by: the built-in data model construction elements include, but are not limited to, sucking frequency, average duration of continuous sucking, average peak value of sucking force.
3. The neonatal sucking reflex capability assessment system of claim 1, further characterized by: the pressure monitoring port of the pressure sensor (3) is connected with the inner cavity of the pressure measuring sucking nipple (2), the connection mode is that the pressure monitoring port of the pressure sensor (3) is directly placed into the inner cavity of the pressure measuring sucking nipple (2), and the pressure monitoring port of the pressure sensor (3) is communicated with the inner cavity of the pressure measuring sucking nipple (2) by adopting the pressure measuring catheter (8).
4. The neonatal sucking reflex capability assessment system of claim 1, further characterized by: the wrist-ID-based patient information identification device is also provided with a patient ID identification module (11), and the ID identification module (11) is used for identifying patient information of a patient bed number and a wrist ID number.
5. The neonatal sucking reflex capability assessment system of claim 1, further characterized by: calculating the number of pressure waveforms by the data model, calculating the times of sucking actions of the neonate every minute, and judging the times of effective sucking and ineffective sucking according to the pressure peak value of each pressure waveform; the more effective sucking times in unit time and the shorter effective sucking interval time are, the stronger the sucking reflex of the neonate is judged.
6. The neonatal sucking reflex capability assessment system of claim 1, further characterized by: the data model records the duration of each continuous sucking, and calculates and gives the average duration of n continuous sucking by adopting a weighted average method; the longer the average duration of continuous sucking, the stronger the sucking ability of the newborn is judged.
7. The neonatal sucking reflex capability assessment system of claim 1, further characterized by: detecting and recording suction peak values of n times of suction by a data model, and calculating and giving suction average peak values by a weighted average method; the larger the average peak value of sucking force, the stronger the sucking force of the newborn is judged.
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Publication number Priority date Publication date Assignee Title
CN108634959A (en) * 2018-05-09 2018-10-12 牛世平 A kind of newborn's sucking reflex ability evaluating system
CN109998463A (en) * 2019-04-30 2019-07-12 张恒 A kind of Pediatric Oral Emergency detector
CN112545474A (en) * 2021-01-20 2021-03-26 西安汇智医疗集团有限公司 Measurement kit for physiological parameter induction diagnosis
CN113397888A (en) * 2021-07-13 2021-09-17 西安汇智医疗集团有限公司 Multifunctional induction diagnosis system for neonates
CN114343647B (en) * 2021-12-29 2024-02-02 南京市妇幼保健院 Newborn sucking ability tester
CN115670933A (en) * 2022-10-14 2023-02-03 深圳大学 An infant feeding system based on sucking action detection and its control method
CN118680528B (en) * 2024-08-22 2024-11-15 南方医科大学南方医院 A method and system for evaluating sucking ability of newborns

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